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Optimizing Alzheimer’s Disease Therapy Using a Neural Intelligent Agent-Based Platform

机译:使用基于神经智能代理的平台优化阿尔茨海默病治疗

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Alzheimer’s disease affects millions of persons every year. Negative emotions such as stress and frustration have a negative impact on memory function and Alzheimer's patients experience more negative emotions than healthy adults. Non-pharmacological treatment such as immersion in virtual environments could help Alzheimer patients by reducing their negative emotions, but it has restrictions and requirements. In this work, we present three virtual reality relaxing systems in which the patients are immersed in relaxing environments. We propose to use intelligent agents in order to adapt the relaxing environment to each participant and optimize its relaxation effect. The intelligent agents track the emotions of patients using electroencephalography as input in order to adapt the environments. We designed each system with different levels of intelligence in order to analyze the impact of the adaptation on the patients. Experiments were performed for each system on participants with subjective cognitive decline. Results show that these relaxing systems can reduce negative emotions and improve participants’ memory performance. The positive effects on affective state and memory persisted for a longer period of time and were generally more effective for the systems with more intelligence. We believe that the combination of a relaxing environment, virtual reality, intelligent agents for adapting the environment, and brain assessment is a promising method for helping Alzheimer’s patients.
机译:阿尔茨海默病的疾病每年都会影响数百万人。压力和挫折的负面情绪对记忆功能产生负面影响,而阿尔茨海默病的患者比健康的成年人更加负面情绪。非药理学治疗如虚拟环境中的浸没可以通过减少它们的负面情绪来帮助阿尔茨海默患者,但它有限制和要求。在这项工作中,我们提供了三种虚拟现实放松系统,其中患者沉浸在休闲环境中。我们建议使用智能代理,以使放松环境适应每个参与者,并优化其放松效果。智能代理商追踪使用脑电图的患者的情绪作为输入,以适应环境。我们设计了具有不同智力水平的每个系统,以分析适应对患者的影响。对来自主观认知下降的每个系统进行实验。结果表明,这些轻松系统可以减少负面情绪并提高参与者的记忆性能。对情感状态和记忆的积极影响持续更长的时间,并且通常对具有更多智能的系统更有效。我们认为,放松环境,虚拟现实,智能代理的组合,用于调整环境,以及大脑评估是帮助阿尔茨海默患者的有希望的方法。

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